Springer publishes data governance chapter

Springer Nature has added a chapter titled “Data Governance” to its *Handbook of Human-Centered Artificial Intelligence*, part of a living reference work dated May 2026 on Springer Link. The publisher’s listing describes the handbook as a broad review of human-centered AI from both human and computing perspectives. (link.springer.com) A separate Springer entry for the chapter says data governance in AI is a framework for managing data responsibly across its lifecycle, with an emphasis on ethical and human-centered approaches. The timing matters because the chapter lands as AI governance work is moving from broad principles to operational controls. Springer’s own handbook listings show adjacent chapters on standards, governance and enterprise strategy, placing data governance alongside oversight, accountability and implementation questions rather than as a narrow technical topic. (link.springer.com) ### Where exactly was the chapter published? Springer Link lists “Data Governance” as an entry in the *Handbook of Human-Centered Artificial Intelligence*, a Springer Nature reference work available online. The handbook page says the work is designed to bridge AI technologies with human-centered principles such as human needs, values, controllability and experience. (link.springer.com) The handbook is presented as a living reference work, meaning chapters can appear online individually as they are published or updated. Springer uses that format across the handbook, including other recent entries on AI standards, algorithmic governance and enterprise strategy. (link.springer.com) ### What does the chapter say it covers? The Springer abstract says data governance in AI concerns the responsible management of data through its lifecycle. It says the chapter highlights foundational concepts, ethical implications and practical applications of data governance in AI. That description aligns with the board-level themes highlighted in social posts about the chapter, including audit frameworks, documentation, data stewardship and oversight practices. (link.springer.com) I could verify the chapter’s existence and abstract on Springer, but not independently confirm the full text of those social-media characterizations from the publisher page alone. (link.springer.com) ### Why is this showing up in a human-centered AI handbook? Springer’s handbook description says human-centered AI is meant to ensure AI systems are designed, developed, deployed and used in ways that prioritize human values, needs, ethics and experience. In that framing, data governance is treated as part of how organizations make AI systems accountable, not only how they build models. (link.springer.com) A related chapter in the same handbook, “Ethical AI Standards and Governance: A Perspective of Human-Centered AI,” says accountability and public trust require concrete tools and institutional structures, including oversight and continuous adaptation. That chapter’s abstract places governance in high-stakes domains alongside fairness, transparency and accountability. (link.springer.com) ### What does this suggest for boards and oversight teams? The chapter abstract itself points to lifecycle management, ethics and practical application, which are the elements boards typically ask management to turn into policy, controls and reporting. That is an inference based on the chapter summary and the surrounding handbook structure, rather than a direct quote from the full text. (link.springer.com) UNESCO’s recommendation on AI ethics, cited here as broader context rather than as a source on the Springer chapter, also frames AI governance around accountability and responsible oversight. That wider policy backdrop helps explain why publishers and practitioners are producing more governance-focused AI material in 2026. (link.springer.com) ### Where can readers find the next pieces of this story? Springer’s handbook page lists the reference work online, and the “Data Governance” chapter is already indexed there as an individual entry. Readers tracking the topic can also watch related handbook chapters on standards, algorithmic governance and enterprise strategy as Springer continues to update the collection. (link.springer.com 1) (link.springer.com 2) (unesco.org)